from '.to_native()' to '.native'

narwhals/dataframe.py

@@ -2912,7 +2912,7 @@ def collect(self) -> DataFrame[Any]:
             | Use `.to_native` to see native output |
             └───────────────────────────────────────┘
             >>> df = lf.group_by("a").agg(nw.all().sum()).collect()
-            >>> df.to_native().sort("a")
+            >>> df.native.sort("a")
             shape: (3, 3)
             ┌─────┬─────┬─────┐
             │ a   ┆ b   ┆ c   │

narwhals/stable/v1/__init__.py

@@ -416,7 +416,7 @@ def collect(self) -> DataFrame[Any]:
             | Use `.to_native` to see native output |
             └───────────────────────────────────────┘
             >>> df = lf.group_by("a").agg(nw.all().sum()).collect()
-            >>> df.to_native().sort("a")  # doctest:+SKIP
+            >>> df.native.sort("a")
             shape: (3, 3)
             ┌─────┬─────┬─────┐
             │ a   ┆ b   ┆ c   │

tests/from_pycapsule_test.py

@@ -16,7 +16,7 @@
 def test_from_arrow_to_arrow() -> None:
     df = nw.from_native(pl.DataFrame({"ab": [1, 2, 3], "ba": [4, 5, 6]}), eager_only=True)
     result = nw.from_arrow(df, native_namespace=pa)
-    assert isinstance(result.to_native(), pa.Table)
+    assert isinstance(result.native, pa.Table)
     expected = {"ab": [1, 2, 3], "ba": [4, 5, 6]}
     assert_equal_data(result, expected)
 
@@ -27,7 +27,7 @@ def test_from_arrow_to_polars(monkeypatch: pytest.MonkeyPatch) -> None:
     monkeypatch.delitem(sys.modules, "pandas")
     df = nw.from_native(tbl, eager_only=True)
     result = nw.from_arrow(df, native_namespace=pl)
-    assert isinstance(result.to_native(), pl.DataFrame)
+    assert isinstance(result.native, pl.DataFrame)
     expected = {"ab": [1, 2, 3], "ba": [4, 5, 6]}
     assert_equal_data(result, expected)
     assert "pandas" not in sys.modules
@@ -37,7 +37,7 @@ def test_from_arrow_to_polars(monkeypatch: pytest.MonkeyPatch) -> None:
 def test_from_arrow_to_pandas() -> None:
     df = nw.from_native(pa.table({"ab": [1, 2, 3], "ba": [4, 5, 6]}), eager_only=True)
     result = nw.from_arrow(df, native_namespace=pd)
-    assert isinstance(result.to_native(), pd.DataFrame)
+    assert isinstance(result.native, pd.DataFrame)
     expected = {"ab": [1, 2, 3], "ba": [4, 5, 6]}
     assert_equal_data(result, expected)
 

tests/stable_api_test.py

@@ -49,7 +49,7 @@ def test_renamed_taxicab_norm_dataframe(constructor: Constructor) -> None:
     def func(df_any: Any) -> Any:
         df = nw_v1.from_native(df_any)
         df = df._l1_norm()
-        return df.to_native()
+        return df.native
 
     result = nw_v1.from_native(func(constructor({"a": [1, 2, 3, -4, 5]})))
     expected = {"a": [15]}

tests/utils_test.py

@@ -102,7 +102,7 @@ def test_maybe_reset_index_pandas() -> None:
     result = nw.maybe_reset_index(pandas_df)
     expected = pd.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]})
     assert_frame_equal(nw.to_native(result), expected)
-    assert result.to_native() is pandas_df.to_native()
+    assert result.native is pandas_df.native
     pandas_series = nw.from_native(
         pd.Series([1, 2, 3], index=[7, 8, 9]), series_only=True
     )
@@ -113,7 +113,7 @@ def test_maybe_reset_index_pandas() -> None:
     result_s = nw.maybe_reset_index(pandas_series)
     expected_s = pd.Series([1, 2, 3])
     assert_series_equal(nw.to_native(result_s), expected_s)
-    assert result_s.to_native() is pandas_series.to_native()
+    assert result_s.native is pandas_series.native
 
 
 def test_maybe_reset_index_polars() -> None: